Tutorial:Getting started: Compiling MSL with external libraries
Certain functions of MSL require the installation of some open-source external libraries.
- BOOST (portable C++ source libraries) [[1]]
- GSL (GNU Scientific Library) [[2]]
- GLPK (GNU linear programming kit) [[3]]
- R (R statistical and graphics project) [[4]]
Contents
How to enable inclusion of the external libraries
By default MSL will be compiled without the support of the external libraries and some functionality won't be available. To include the libraries, you need to set some environmental variables.
If you use bash, add the following lines to your .bashrc
# $MSL_GSL set to "T" if GSL is installed or else to "F" (default)
# $MSL_BOOST set to "T" if BOOST is installed or else to "F" (default)
# $MSL_GLPK set to "T" if GLPK is installed or else to "F" (default)
# $MSL_R set to "T" if R is installed or else to "F" (default)
export MSL_GSL=T
export MSL_GLPK=T
export MSL_BOOST=T
export MSL_R=T
#export MSL_EXTERNAL_LIB_DIR=/usr/lib
#export MSL_EXTERNAL_INCLUDE_DIR=/usr/include
#export MSL_MACOS=T
#export MSL_DEBUG=F
#export MSL_DIR=$HOME/software/mslib
If you use tcsh, add the following lines to your .cshrc
# $MSL_GSL set to "T" if GSL is installed or else to "F" (default)
# $MSL_BOOST set to "T" if BOOST is installed or else to "F" (default)
# $MSL_GLPK set to "T" if GLPK is installed or else to "F" (default)
# $MSL_R set to "T" if R is installed or else to "F" (default)
setenv MSL_GSL T
setenv MSL_GLPK T
setenv MSL_BOOST T
setenv MSL_R T
#setenv MSL_EXTERNAL_LIB_DIR /usr/lib
#setenv MSL_EXTERNAL_INCLUDE_DIR /usr/include
The default location of the libraries is /usr/lib. If you have installed them in a custom location set the $EXTERNAL_LIB_DIR environmental variable to the correct location.
BOOST
The following libraries from the Boost C++ Libraries are used in some MSL objects and programs
- Serialization, used for ... in the following objects
- Archive, used for ... in the following objects
- Random, used for ... in the following objects
Note: if boost is included, version 1.40 (???) or later is required.
If BOOST is enabled, you should see -D__BOOST__ -DBOOST_DISABLE_THREADS in the compilation command when using make.
To Compile BOOST
>tar xzvf boost-VERSION.tar.gz >cd boost-VERSION >./bootstrap.sh --prefix=~/software/mslib/ext_libs >./b2 > cp ./stage/lib/libboost_*.a ~/software/mslib/ext_libs > cp -r boost ~/software/mslib/ext_includes/
GSL
The [GNU Scientific library] is required by the following objects:
If GSL is enabled, you should see -D__GSL_ in the compilation command when using make.
To compile GSL
>tar xzvf gsl-1.14.tar.gz >cd gsl-1.14 >./configure --prefix=/path/to/desired/directory >make >make check >make install >cp .libs/libgsl.a ~/software/mslib/ext_libs/ >cp cblas/.libs/libgslcblas.a ~/software/mslib/ext_libs/
- Note the -H, this should follow the symlinks, otherwise you get copies of links with relative paths and then you get errors making MSL that say gsl/gsl_rng.h not found, when you see it there!
> cp -r -H gsl ~/software/mslib/ext_includes/
GLPK
The GNU linear programming kit is required by the LinearProgrammingOptimization object.
If GLPK is enabled, you should see -D__GLPK__ in the compilation command when using make.
./configure --prefix=/usr/lib --disable-dl --disable-odbc --disable-mysql --enable-static --without-gmp --without-zlib make make install cp /usr/lib/libglpk.a MSLHOME/ext_libs/ cp /usr/include/glpk.h MSLHOME/ext_includes/
R
The R project is used by the getDihedrals program.
If R is enabled, you should see -D__R__ in the compilation command when using make.
To Compile R
MAC OS
Install R and copy headers into MSL_EXTERNAL_INCLUDE_DIR
cp -r /Library/Frameworks/R.framework/Resources/include/ $MSL_EXTERNAL_INCLUDE_DIR
Download Rcpp
R CMD INSTALL Rcpp_0.8.5.tar.gz cp /Library/Frameworks/R.framework/Resources/library/Rcpp/lib/x86_64/libRcpp.a $MSL_EXTERNAL_LIB_DIR/ cp -r /Library/Frameworks/R.framework/Resources/library/Rcpp/include $MSL_EXTERNAL_INCLUDE_DIR/
R CMD INSTALL RInside_0.2.3.tar.gz cp /Library/Frameworks/R.framework/Resources/library/RInside/lib/x86_64/libRInside.a $MSL_EXTERNAL_LIB_DIR/ cp -r /Library/Frameworks/R.framework/Resources/library/RInside/include $MSL_EXTERNAL_INCLUDE_DIR/
If the above install does not work, one can install from source here is a good resource:
http://cran.r-project.org/bin/macosx/RMacOSX-FAQ.html#Quick-start
LINUX OS
Success using shared libraries and compiling MSL as shared lib, but static lib has not been done yet. I will link my Makefile for shared-R compile once its cleaned up a bit
First try using the 'apt' system in linux:
sudo apt-get install r-base
If the 'apt' version is not the latest version that you need, then install latest version of R:
sudo apt-get build-dep r-base tar xvzf R-2.11.1.tar.gz cd R-2.11.1 ./configure make sudo make install
Install Rcpp:
sudo /usr/local/bin/R CMD INSTALL Rcpp_0.8.5.tar.gz cp /Library/Frameworks/R.framework/Resources/library/Rcpp/lib/x86_64/libRcpp.a $MSL_EXTERNAL_LIB_DIR/ cp -r /Library/Frameworks/R.framework/Resources/library/Rcpp/include $MSL_EXTERNAL_INCLUDE_DIR/
Install RInside:
R CMD INSTALL RInside_0.2.3.tar.gz
cp /Library/Frameworks/R.framework/Resources/library/RInside/lib/x86_64/libRInside.a $MSL_EXTERNAL_LIB_DIR/ cp -r /Library/Frameworks/R.framework/Resources/library/RInside/include $MSL_EXTERNAL_INCLUDE_DIR/
Copy headers into MSL_EXTERNAL_INCLUDE_DIR
cp -r /Library/Frameworks/R.framework/Resources/include/ $MSL_EXTERNAL_INCLUDE_DIR